Acute Respiratory Distress Syndrome in the Global Context
Bibliographic record
Abstract
Acute respiratory distress syndrome (ARDS) is a clinically defined syndrome of hypoxia and bilateral pulmonary infiltrates due to inflammatory pathways triggered by pulmonary and nonpulmonary insults, and ARDS is pathologically correlated with diffuse alveolar damage. Estimates of ARDS's impact in the developed world vary widely, with some of the discrepancies attributed to marked differences in the availability of intensive care beds and mechanical ventilation. Almost nothing is known about the epidemiology of ARDS in the developing world, in part due to a clinical definition requiring positive pressure ventilation, arterial blood gases, and chest radiography. Current frameworks for comparing the epidemiology of death and disability across the world including the GBD (Global Burden of Disease Study) 2010 are ill-suited to quantifying critical illness syndromes including ARDS. Modifications to the definition of ARDS to allow a provision for environments without the capacity for positive pressure ventilation, and to allow for alternate diagnostic techniques including pulse oximetry and ultrasound, may make it possible to quantify and describe the impact of ARDS in the global context.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".